Suzhou Cheersson Precision Industry Group (002976) Fair Value & Analysis
Industrials · CN · Market cap 4.1B CNY
Analysis
Suzhou Cheersson Precision Industry Group (002976) currently trades at ¥29.00, while our model-based Fair Value estimate is ¥3.77 — implying the stock looks roughly 87.0% overvalued today. We read business quality at 95/100 (high quality), in the Industrials sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: high).
About the company
Suzhou Cheersson Precision Industry Group Co., Ltd., together with its subsidiaries, engages in the research, development, manufacturing, and sale of precision molds and structural parts, automotive air suspension systems, and mobile communication equipment in China. The company offers precision metal structural parts, including automotive safety and chassis systems, components for automotive electronic systems, in-car entertainment systems, and other systems; and fastener products, such as special-shaped and self-clinching. It also provides seat comfort system components and small assembly system comprising seat heating, ventilation, massage, and support; and components, which includes related electronic control system ECU, seat wiring harness, electric seat dedicated switch, seat sensor SBR, car seat brush/brushless motor, steering wheel heating and touch sensing components, seat adjustment components for fingerprint recognition, and others. In addition, the company offers chassis…
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.